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Haoliang Yuan
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2020 – today
- 2024
- [j43]Luosen Wang, Jie Hou, Peng Cao, Zhiying Yao, Shijun Wang, Yuying Zhang, Sheng Wang, Haoliang Yuan
, Liu Liu:
Design, Synthesis, and Biological Evaluation of Chroman Derivatives as PD-1/PD-L1 Antagonists. J. Chem. Inf. Model. 64(12): 4877-4896 (2024) - [j42]Ming Yin
MVAIBNet: Multiview Disentangled Representation Learning With Information Bottleneck. IEEE Trans. Ind. Informatics 20(10): 11511-11520 (2024) - [j41]Junyu Li
Stacked Network to Realize Spectral Clustering With Adaptive Graph Learning. IEEE Trans. Knowl. Data Eng. 36(7): 3501-3513 (2024) - 2023
- [j40]Ming Yin, Shaocong He, Tourfique Ahemd Soomro, Haoliang Yuan
Efficient skeleton-based action recognition via multi-stream depthwise separable convolutional neural network. Expert Syst. Appl. 226: 120080 (2023) - [j39]Chao Su, Haoliang Yuan, Loi Lei Lai, Qiang Yang:
Anchor-based multi-view subspace clustering with graph learning. Neurocomputing 547: 126320 (2023) - [j38]Tingjian Chen, Ying Zeng, Haoliang Yuan, Guo Zhong, Loi Lei Lai, Yuan Yan Tang:
Multi-level regularization-based unsupervised multi-view feature selection with adaptive graph learning. Int. J. Mach. Learn. Cybern. 14(5): 1695-1709 (2023) - [j37]Junyu Li
Two-Dimensional Unsupervised Feature Selection via Sparse Feature Filter. IEEE Trans. Cybern. 53(9): 5605-5617 (2023) - 2022
- [j36]Ying Wang
MIVCN: Multimodal interaction video captioning network based on semantic association graph. Appl. Intell. 52(5): 5241-5260 (2022) - [j35]Haoliang Yuan, Junyu Li, Yong Liang, Yuan Yan Tang:
Multi-view unsupervised feature selection with tensor low-rank minimization. Neurocomputing 487: 75-85 (2022) - [j34]Haoliang Yuan, Sio-Long Lo, Ming Yin, Yong Liang:
Erratum: Multi-view feature selection via sparse tensor regression. Int. J. Wavelets Multiresolution Inf. Process. 20(2): 2292001:1-2292001:2 (2022) - [j33]Tingjian Chen, Haoliang Yuan
Hierarchical unsupervised multi-view feature selection. Int. J. Wavelets Multiresolution Inf. Process. 20(6): 2250024:1-2250024:21 (2022) - [j32]Yongjun Zang, Luyang Tai, Yuanyang Hu, Yu Wang, Hongbin Sun
Discovery of a Novel Macrocyclic ATP Citrate Lyase Inhibitor. J. Chem. Inf. Model. 62(12): 3123-3132 (2022) - [j31]Wei Liu
Uncertainty-Guided Optimal Scheduling of Automated Energy Internet. IEEE Trans. Ind. Informatics 18(8): 5662-5669 (2022) - 2021
- [j30]Haoliang Yuan, Sio-Long Lo, Ming Yin, Yong Liang:
Multi-view feature selection via sparse tensor regression. Int. J. Wavelets Multiresolution Inf. Process. 19(5): 2150020:1-2150020:17 (2021) - [j29]Hengzhi Sun, Jinzheng Wang, Shengjie Liu, Xinyu Zhou, Liang Dai
Discovery of Novel Small Molecule Inhibitors Disrupting the PCSK9-LDLR Interaction. J. Chem. Inf. Model. 61(10): 5269-5279 (2021) - [c27]Baifu Huang, Haoliang Yuan, Loi Lei Lai
Latent shared representation for multi-view subspace clustering. IJCNN 2021: 1-8 - 2020
- [j28]Yanquan Huang, Haoliang Yuan, Loi Lei Lai:
Latent multi-view semi-supervised classification by using graph learning. Int. J. Wavelets Multiresolution Inf. Process. 18(5): 2050039:1-2050039:16 (2020) - [j27]Haoliang Yuan
Low-rank matrix regression for image feature extraction and feature selection. Inf. Sci. 522: 214-226 (2020) - [j26]Liang Dai
Discovery of Novel Peroxisome Proliferator-Activated Receptor α (PPARα) Agonists by Virtual Screening and Biological Evaluation. J. Chem. Inf. Model. 60(3): 1717-1727 (2020) - [j25]Shengjie Liu, Xinyu Zhou, Minglei Li, Wenfeng Zhao, Shuxi Zhou, Keguang Cheng
Discovery of Ubiquitin-Specific Protease 7 (USP7) Inhibitors with Novel Scaffold Structures by Virtual Screening, Molecular Dynamics Simulation, and Biological Evaluation. J. Chem. Inf. Model. 60(6): 3255-3264 (2020) - [c26]Jianyang Qin, Lunke Fei, Shaohua Teng, Wei Zhang, Dongning Liu
Discrete Semantic Matrix Factorization Hashing for Cross-Modal Retrieval. ICPR 2020: 1550-1557
2010 – 2019
- 2019
- [j24]Junjie Zheng, Haoliang Yuan, Loi Lei Lai
Sparse discriminative least squares regression model. Int. J. Wavelets Multiresolution Inf. Process. 17(4): 1950028:1-1950028:15 (2019) - [j23]Chun Sing Lai
A robust correlation analysis framework for imbalanced and dichotomous data with uncertainty. Inf. Sci. 470: 58-77 (2019) - [j22]Xiangying Zhang
A Selectivity Study of FFAR4/FFAR1 Agonists by Molecular Modeling. J. Chem. Inf. Model. 59(10): 4467-4474 (2019) - [j21]Haoliang Yuan
Joint sparse matrix regression and nonnegative spectral analysis for two-dimensional unsupervised feature selection. Pattern Recognit. 89: 119-133 (2019) - [c25]Yingshan Tao, Haoliang Yuan, Chun Sing Lai
Multi-View Collaborative Representation Classification. ICMLC 2019: 1-6 - 2018
- [j20]Haoliang Yuan
A collaborative-competitive representation based classifier model. Neurocomputing 275: 627-635 (2018) - [j19]Haoliang Yuan
Graph-based multiple rank regression for image classification. Neurocomputing 315: 394-404 (2018) - [j18]Haoliang Yuan, Junjie Zheng, Loi Lei Lai
A constrained least squares regression model. Inf. Sci. 429: 247-259 (2018) - [j17]Haoliang Yuan
Sparse structural feature selection for multitarget regression. Knowl. Based Syst. 160: 200-209 (2018) - [j16]Haoliang Yuan, Junjie Zheng, Loi Lei Lai
Semi-supervised graph-based retargeted least squares regression. Signal Process. 142: 188-193 (2018) - [j15]Fangyuan Xu, Xin Cun, Mengxuan Yan, Haoliang Yuan, Yifei Wang
Power Market Load Forecasting on Neural Network With Beneficial Correlated Regularization. IEEE Trans. Ind. Informatics 14(11): 5050-5059 (2018) - [c24]Junyu Li, Haoliang Yuan, Loi Lei Lai
Joint Collaborative Representation and Discriminative Projection for Pattern Classification. CIS 2018: 125-129 - [c23]Baifu Huang, Danqi Wu, Chun Sing Lai
Load Forecasting based on Deep Long Short-term Memory with Consideration of Costing Correlated Factor. INDIN 2018: 496-501 - 2017
- [j14]Haoliang Yuan:
Robust patch-based sparse representation for hyperspectral image classification. Int. J. Wavelets Multiresolution Inf. Process. 15(3): 1750028:1-1750028:15 (2017) - [j13]Haoliang Yuan, Loi Lei Lai
Robust subspace learning method for hyperspectral image classification. Int. J. Wavelets Multiresolution Inf. Process. 15(6): 1750060:1-1750060:21 (2017) - [j12]Haoliang Yuan, Yuan Yan Tang:
Spectral-Spatial Shared Linear Regression for Hyperspectral Image Classification. IEEE Trans. Cybern. 47(4): 934-945 (2017) - [c22]Haoliang Yuan, Junjie Zheng, Fangyuan Xu, Loi Lei Lai
A Generalized Discriminative Least Squares Regression Model. ACPR 2017: 376-381 - 2016
- [c21]Xianwei Zheng, Yuan Yan Tang, Jiantao Zhou, Haoliang Yuan, Yulong Wang, Lina Yang, Jianjia Pan:
Multi-windowed graph Fourier frames. ICMLC 2016: 1042-1048 - [c20]Jianjia Pan, Yuan Yan Tang, Yulong Wang, Xianwei Zheng, Huiwu Luo, Haoliang Yuan, Patrick Shen-Pei Wang:
A hybrid swarm optimization for neural network training with application in stock price forecasting. SMC 2016: 4450-4453 - [p1]Yuan Yan Tang, Haoliang Yuan:
Manifold-based Sparse Representation for hyperspectral Image Classification. Handbook of Pattern Recognition and Computer Vision 2016: 331-350 - 2015
- [j11]Haoliang Yuan, Yuan Yan Tang:
Learning With Hypergraph for Hyperspectral Image Feature Extraction. IEEE Geosci. Remote. Sens. Lett. 12(8): 1695-1699 (2015) - [j10]Haoliang Yuan, Yuan Yan Tang:
Sparse Representation Based on Set-to-Set Distance for Hyperspectral Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 8(6): 2464-2472 (2015) - [j9]Yuan Yan Tang, Yang Lu, Haoliang Yuan:
Hyperspectral Image Classification Based on Three-Dimensional Scattering Wavelet Transform. IEEE Trans. Geosci. Remote. Sens. 53(5): 2467-2480 (2015) - [c19]Jianjia Pan, Xianwei Zheng, Lina Yang, Yulong Wang, Haoliang Yuan, Yuan Yan Tang:
A forecasting method based on extrema mean empirical mode decomposition and wavelet neural network. CYBCONF 2015: 377-381 - [c18]Lina Yang, Yuan Yan Tang, Yulong Wang, Huiwu Luo, Jianjia Pan, Haoliang Yuan, Xianwei Zheng, Chunli Li, Ting Shu:
Similarity analysis based on sparse representation for protein sequence comparison. CYBCONF 2015: 382-387 - [c17]Yulong Wang, Yuan Yan Tang, Lina Yang, Huiwu Luo, Haoliang Yuan, Xianwei Zheng, Jianjia Pan:
Classification via atomic representation. CYBCONF 2015: 388-393 - [c16]Xianwei Zheng, Yuan Yan Tang, Jiantao Zhou, Lina Yang, Haoliang Yuan, Yulong Wang, Chunli Li:
Redundant graph Fourier transform. CYBCONF 2015: 406-409 - 2014
- [j8]Haoliang Yuan, Jin Zhuang, Shihe Hu, Huifang Li, Jinxing Xu, Yaning Hu, Xiao Xiong, Yadong Chen, Tao Lu:
Molecular Modeling of Exquisitely Selective c-Met Inhibitors through 3D-QSAR and Molecular Dynamics Simulations. J. Chem. Inf. Model. 54(9): 2544-2554 (2014) - [j7]Haoliang Yuan, Yuan Yan Tang, Yang Lu, Lina Yang, Huiwu Luo:
Spectral-Spatial Classification of Hyperspectral Image Based on Discriminant Analysis. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 7(6): 2035-2043 (2014) - [j6]Haoliang Yuan, Yuan Yan Tang, Yang Lu, Lina Yang, Huiwu Luo:
Hyperspectral Image Classification Based on Regularized Sparse Representation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 7(6): 2174-2182 (2014) - [j5]Haoliang Yuan, Yuan Yan Tang:
A Novel Sparsity-Based Framework Using Max Pooling Operation for Hyperspectral Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 7(8): 3570-3576 (2014) - [j4]Yuan Yan Tang, Haoliang Yuan, Luoqing Li:
Manifold-Based Sparse Representation for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 52(12): 7606-7618 (2014) - [c15]Haoliang Yuan, Yuan Yan Tang:
Multi-scale Tensor l1-Based Algorithm for Hyperspectral Image Classification. ICPR 2014: 1383-1388 - [c14]Yulong Wang, Yuan Yan Tang, Lina Yang, Haoliang Yuan, Huiwu Luo, Yang Lu:
Spectral-spatial hyperspectral image destriping using low-rank representation and Huber-Markov random fields. SMC 2014: 305-310 - [c13]Yang Lu, Lina Yang, Haoliang Yuan, Yulong Wang, Huiwu Luo, Yuan Yan Tang:
A novel method for protein structure retrieval using tableau representation and sparse coding. SMC 2014: 4042-4046 - [c12]Lina Yang, Yuan Yan Tang, Yang Lu, Huiwu Luo, Yulong Wang, Haoliang Yuan:
Protein sequence analysis based on fractal-wavelet scheme. SMC 2014: 4065-4070 - [c11]Haoliang Yuan, Huiwu Luo, Lina Yang, Yang Lu, Yulong Wang, Yuan Yan Tang:
Feature extraction based on kernel sparse representation for hyperspectral image classification. SMC 2014: 4071-4076 - 2013
- [j3]Haoliang Yuan, Wenting Tai, Shihe Hu, Haichun Liu, Yanmin Zhang, Sihui Yao, Ting Ran, Shuai Lu
Fragment-based strategy for structural optimization in combination with 3D-QSAR. J. Comput. Aided Mol. Des. 27(10): 897-915 (2013) - [j2]Yanmin Zhang, Shangyan Yang, Yu Jiao, Haichun Liu, Haoliang Yuan, Shuai Lu
An Integrated Virtual Screening Approach for VEGFR-2 Inhibitors. J. Chem. Inf. Model. 53(12): 3163-3177 (2013) - [c10]Haoliang Yuan, Yang Lu, Lina Yang, Huiwu Luo, Yuan Yan Tang:
Sparse representation using contextual information for hyperspectral image classification. CYBCONF 2013: 138-143 - [c9]Haoliang Yuan, Yang Lu, Lina Yang, Huiwu Luo, Yuan Yan Tang:
Spectral-spatial linear discriminant analysis for hyperspectral image classification. CYBCONF 2013: 144-149 - [c8]Huiwu Luo, Lina Yang, Haoliang Yuan, Yuan Yan Tang:
Learning recovered pattern from region-dependent model for hyperspectral imagery. CYBCONF 2013: 150-155 - [c7]Huiwu Luo, Lina Yang, Haoliang Yuan, Yuan Yan Tang:
Dimension reduction with randomized anisotropic transform for hyperspectral image classification. CYBCONF 2013: 156-161 - [c6]Huiwu Luo, Lina Yang, Yuan-Man Li, Haoliang Yuan, Yuan Yan Tang:
Feature extraction based on discriminant analysis with penalty constraint for hyperspectral image classification. ICMLC 2013: 931-936 - [c5]Yuan Yan Tang, Haoliang Yuan, Yang Lu, Patrick Shen-Pei Wang:
Graph-based Sparse Representation for Hyperspectral Image Classification. MLDM Posters 2013: 159-168 - 2012
- [c4]Xiaoqiang Lu, Haoliang Yuan, Pingkun Yan
Geometry constrained sparse coding for single image super-resolution. CVPR 2012: 1648-1655 - 2011
- [j1]Haoliang Yuan, Tao Lu, Ting Ran, Haichun Liu, Shuai Lu
Novel Strategy for Three-Dimensional Fragment-Based Lead Discovery. J. Chem. Inf. Model. 51(4): 959-974 (2011) - [c3]Xiaoqiang Lu, Pingkun Yan
Utilizing homotopy for single image superresolution. ACPR 2011: 316-320 - [c2]Xiaoqiang Lu, Haoliang Yuan, Pingkun Yan
Image Denoising via Improved Sparse Coding. BMVC 2011: 1-11 - [c1]Xiaoqiang Lu, Haoliang Yuan, Yuan Yuan, Pingkun Yan
Local learning-based image super-resolution. MMSP 2011: 1-5
Coauthor Index
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last updated on 2024-11-07 20:33 CET by the dblp team
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